Design and analysis of permutation-based pyramid broadcasting

被引:0
|
作者
Charu C. Aggarwal
Joel L. Wolf
Philip S. Yu
机构
[1] IBM T.J. Watson Research Center,
[2] Yorktown Heights,undefined
[3] NY 10598,undefined
[4] USA ,undefined
来源
Multimedia Systems | 1999年 / 7卷
关键词
Key words:Broadcasting – Video-on-demand – Pyramid schemes;
D O I
暂无
中图分类号
学科分类号
摘要
Periodic broadcasting can be used to support near-video-on-demand for popular videos. For a given bandwidth allocation, pyramid broadcasting schemes substantially reduce the viewer latency (waiting) time compared to conventional broadcasting schemes. Nevertheless, such pyramid schemes typically have substantial storage requirements at the client end, and this results in set-top boxes needing disks with high transfer rate capabilities. In this paper, we present a permutation-based pyramid scheme in which the storage requirements and disk transfer rates are greatly reduced, and yet the viewer latency is also smaller. Under the proposed approach, each video is partitioned into contiguous segments of geometrically increasing sizes, and each segment is further divided into blocks, where a block is the basic unit of transmission. As in the original pyramid scheme, frequencies of transmission for the different segments of a video vary in a manner inversely proportional to their size. Instead of transmitting the blocks in each segment in sequential order, the proposed scheme transmits these blocks in a prespecified cyclic permutation to save on storage requirements in the client end. Performance analyses are provided to quantify the benefits of the new scheme.
引用
收藏
页码:439 / 448
页数:9
相关论文
共 50 条
  • [41] Permutation-Based Approximate Multiplier with High Accuracy
    Li, Kunlong
    Dai, Yunfei
    Li, Zhen
    Wang, Lingli
    Proceedings of International Conference on ASIC, 2023,
  • [42] Permutation-based time irreversibility in epileptic electroencephalograms
    Yao, Wenpo
    Dai, Jiafei
    Perc, Matjaz
    Wang, Jun
    Yao, Dezhong
    Guo, Daqing
    NONLINEAR DYNAMICS, 2020, 100 (01) : 907 - 919
  • [43] Permutation-based adjustments for the significance of partial regression coefficients in microarray data analysis
    Wagner, Brandie D.
    Zerbe, Gary O.
    Mexal, Sharon
    Leonard, Sherry S.
    GENETIC EPIDEMIOLOGY, 2008, 32 (01) : 1 - 8
  • [44] A Permutation-Based Changepoint Technique for Monitoring Effect Sizes
    Kent, Daniel
    Wilson, James D.
    Cranmer, Skyler J.
    POLITICAL ANALYSIS, 2022, 30 (02) : 167 - 178
  • [45] A novel bit permutation-based image encryption algorithm
    Saiyma Fatima Raza
    Vishal Satpute
    Nonlinear Dynamics, 2019, 95 : 859 - 873
  • [46] Aging Attacks for Key Extraction on Permutation-Based Obfuscation
    Guo, Zimu
    Tehranipoor, Mark M.
    Forte, Domenic
    PROCEEDINGS OF THE 2016 IEEE ASIAN HARDWARE ORIENTED SECURITY AND TRUST SYMPOSIUM (ASIANHOST 2016), 2016,
  • [47] Pivot Selection Strategies for Permutation-Based Similarity Search
    Amato, Giuseppe
    Esuli, Andrea
    Falchi, Fabrizio
    SIMILARITY SEARCH AND APPLICATIONS (SISAP), 2013, 8199 : 91 - 102
  • [48] Permutation-based finite implicative fuzzy associative memories
    Valle, Marcos Eduardo
    INFORMATION SCIENCES, 2010, 180 (21) : 4136 - 4152
  • [49] A permutation-based Bayesian approach for inverse covariance estimation
    Cao, Xuan
    Zhang, Shaojun
    COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2020, 49 (14) : 3557 - 3571
  • [50] Towards a Stronger Theory for Permutation-based Evolutionary Algorithms
    Doerr, Benjamin
    Ghannane, Yassine
    Ibn Brahim, Marouane
    PROCEEDINGS OF THE 2022 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE (GECCO'22), 2022, : 1390 - 1398